A simple test case can be found here https://gist.github.com/4214092
Expected result:
Query returns a list of results from database
Current behaviour:
Query throws an exception:
https://gist.github.com/4214131
W dniu środa, 5 grudnia 2012 07:54:48 UTC+1 użytkownik Piotr Deszyński
napisał:
If
Ok, got it working.
Sorry for the problem.
W dniu wtorek, 4 grudnia 2012 16:31:16 UTC+1 użytkownik Michael Bayer
napisał:
test cases and stack traces would be a start
On Dec 4, 2012, at 9:29 AM, Piotr Deszyński wrote:
Hello,
Is there a way to use ZopeTransactionExtension using
I am Python 2.7.3, and SQLite version 3.7.9. I added the code you guys
mentioned above to the env.py script:
from __future__ import with_statement
from alembic import context
from sqlalchemy import engine_from_config, pool
from logging.config import fileConfig
# this is the Alembic Config
I think one of my problems is after defining:
def set_sqlite_pragma(dbapi_connection, connection_record) in env.py,
Where I should call it and what are the values of 2 arguments:
dbapi_connection, connection_record?
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On Wed, 2012-12-05 at 06:32:46 -0800, junepeach wrote:
When I logged in sqlite by 'sqlite3 mydb', and checked 'PRAGMA
foreign_keys', it is still 0. There is no change yet. What is wrong?
It doesn't work like that. From
http://www.sqlite.org/foreignkeys.html:
Foreign key constraints are
On Wed, 2012-12-05 at 06:43:33 -0800, junepeach wrote:
I think one of my problems is after defining:
def set_sqlite_pragma(dbapi_connection, connection_record) in env.py,
Where I should call it and what are the values of 2 arguments:
dbapi_connection, connection_record?
You don't have to
Thank you Audrius.Maybe when I ran 'alembic upgrade head', 'PRAGMA
foreign_keys' value of the current sqlite DB connection was already changed to
1 which I need to test in a python code. However when I manually logged in by
typing 'sqlite3 mydb', this is another connection, so the 'PRAGMA
I was wrong in above post.
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On Wed, 2012-12-05 at 07:04:57 -0800, junepeach wrote:
Thank you Audrius.Maybe when I ran 'alembic upgrade head', 'PRAGMA
foreign_keys' value of the current sqlite DB connection was already
changed to 1 which I need to test in a python code. However when I
manually logged in by typing 'sqlite3
On Dec 4, 2012, at 6:27 PM, Derek Harland wrote:
Yes
In that case, how does SQL server make the distinction?
If things have an embedded . then SQL server would ideally make the
distinction based on you quoting the database/schema names. This could be
done in the Transact-SQL
I just did a testing, basically copied and ran the code of below link:
http://docs.sqlalchemy.org/en/rel_0_8/core/tutorial.html
in the middle of process, I copied and ran below code:
from sqlalchemy.engine import Enginefrom sqlalchemy import event
@event.listens_for(Engine, connect)def
On Wed, 2012-12-05 at 09:07:20 -0800, junepeach wrote:
I just did a testing, basically copied and ran the code of below link:
http://docs.sqlalchemy.org/en/rel_0_8/core/tutorial.html
in the middle of process, I copied and ran below code:
from sqlalchemy.engine import Engine
from sqlalchemy
Audrius Kažukauskas
Hi Audrius,
Your code works like a charm. Thank you so much for your help!
I really appreciate!
On Wednesday, December 5, 2012 12:53:25 PM UTC-5, Audrius Kažukauskas wrote:
On Wed, 2012-12-05 at 09:07:20 -0800, junepeach wrote:
I just did a testing, basically copied and
I defined several tables in my module file: mymodule.py. For example I have
table T1 and T2 defined:
class T1(Base):
__tablename__ = 't1'
id = Column(Integer, primary_key = True)
name = Column(String(15))
class T2(Base):
__tablename__ = 't2'
id = Column(Integer, primary_key =
On Dec 5, 2012, at 2:56 PM, junepeach wrote:
I defined several tables in my module file: mymodule.py. For example I have
table T1 and T2 defined:
class T1(Base):
__tablename__ = 't1'
id = Column(Integer, primary_key = True)
name = Column(String(15))
class T2(Base):
I was searching in google about tsvector (postgresql) implemented in sqlalchemy
or geoalchemy but seems to me that it's not implemented yet. After searching
for it in [1], it didn't match anything. Sanjay, however, gives a way to do
this [2] but seems confusing to me, is it possible to use
Hi,
I am making a typical web application using SQLAlchemy, and it contains
“users”, “works” and “likes”:
- users ( id, login, … )
- works ( id, title, … )
- likes ( user_id, work_id )
I want to print how many users liked each work, so the most simple (but
naive) is querying count
sanjay's approach there is hardcoded SQL which isn't necessary with SQLAlchemy
(though always supported as a quick approach to something).
tsvector here as a type can be implemented with UserDefinedType:
http://docs.sqlalchemy.org/en/rel_0_8/core/types.html#sqlalchemy.types.UserDefinedType
and
On 6/12/2012, at 5:26 AM, Michael Bayer wrote:
On Dec 4, 2012, at 6:27 PM, Derek Harland wrote:
Yes
In that case, how does SQL server make the distinction?
If things have an embedded . then SQL server would ideally make the
distinction based on you quoting the database/schema
Hi Brice,
I think something strange happened in the discussion group web page because
it did not show me the existence of the message in which you linked to your
solution. If I had seen that I would have known that you already found the
way.
Cheers,
Eric
On Sunday, December 2, 2012 8:00:05
Thank you very much for that resolution! I use these a lot.
On Wednesday, December 5, 2012 12:37:54 PM UTC-8, Michael Bayer wrote:
On Dec 5, 2012, at 2:56 PM, junepeach wrote:
I defined several tables in my module file: mymodule.py. For example I
have table T1 and T2 defined:
class
But work.like_query.count() will be efficient if you have the right indexes
in the database, no?
I think if you want to denormalize that count all the way and also stay
very efficient, maybe it would be good to do it right on the db server with
a trigger and a stored procedure and avoid extra
But for work in works: work.like_query.count() causes inefficient 1+N
queries even if we have the right indices for it. Of course I could query
like session.query(Work, count()).join(Work.like_set).group_by(Work) but
it’s somewhat complicated to read and write for me (is it only me?). I
want
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